31. Brain Tumor Segmentation on MRI BraTS Data using convolutional neural networks: experimental study and comparisonIrena Dragičević, 2023, master's thesis Keywords: master's theses, radiologic technology, convolutional neural networks, U-Net, BraTS, glioma segmentation, multimodal segmentation, medical image segmentation, machine learning Full text (file, 4,11 MB) |
32. Mobile robot system for selective asparagus harvestingSebastjan Šlajpah, Marko Munih, Matjaž Mihelj, 2023, original scientific article Keywords: asparagus, delta robot, mobile platform, harvest, detection, point cloud segmentation Full text (file, 15,01 MB) This document has more files! More... |
33. Human-centered deep compositional model for handling occlusionsGregor Koporec, Janez Perš, 2023, original scientific article Keywords: computer vision, deep learning, convolutional neural networks, hierarchical compositional model, occlusion, discriminability, generalizability, interpretability, domain knowledge, instance segmentation, occlusion handling Full text (file, 2,69 MB) This document has more files! More... |
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35. Combining color and spatial image features for unsupervised image segmentation with mixture modelling and spectral clusteringBranislav Panić, Marko Nagode, Jernej Klemenc, Simon Oman, 2023, original scientific article Keywords: spectral clustering, mixture models, color features, spatial features, image segmentation Full text (file, 1,02 MB) This document has more files! More... |
36. IPADMatej Vitek, Matic Bizjak, Peter Peer, Vitomir Štruc, 2023, original scientific article Keywords: biometrics, sclera segmentation, ocular biometrics, ocular segmentation, model pruning, lightweight deep learning Full text (file, 4,52 MB) This document has more files! More... |
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38. Exploring bias in sclera segmentation modelsMatej Vitek, Peter Peer, Vitomir Štruc, 2023, original scientific article Keywords: biometrics, sclera segmentation, ocular biometrics, bias, fairness Full text (file, 3,57 MB) This document has more files! More... |
39. Introductory computer vision teaching materials for VET educationVasja Lev Kirn, Žiga Emeršič, Gregor Hrastnik, Nataša Meh Peer, Peter Peer, 2024, published professional conference contribution Keywords: computer vision, Python Notebook, object detection, teaching material, segmentation Full text (file, 608,47 KB) |
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